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feat: 招标文件分析拆四维度并行(评分项/资质/文件要求+骨架/成本收益)——对账器按维度各派一个任务并行抽取;QC五类逐类并行审核每类一个审核任务;新增bid_cost_benefit成本收益分析表+extract_cost_benefit/add_cost_benefit_item;QC阈值9.5→8.5(params固化8.5);add_doc_requirement加去重防重派重复录入(2026-09-02)

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yumoqing 2026-09-02 17:10:42 +08:00
parent 7a6a0350dc
commit 66e7f79ec7
6 changed files with 610 additions and 144 deletions
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2
pipeline_bidding/bid_ability.py
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@ -94,7 +94,7 @@ BID_PROMPT = """你是「投标产线」的驾驶舱 agent，负责从招标文
## 流转由机制驱动（重要）
角色任务由系统状态对账器自动派发（每 15 秒一轮），你**不需要**手动为每个章节创建任务：
- 解析产出须经 QC 契合度审核：评分标准/得分规则/资质/投标文件要求/章节骨架逐类对照招标文件原文
按 10 分制打分，得分高于通过分（默认 9.5）才放行；不通过给改进意见 → 清空产出 → 解析重做 → 重审
按 10 分制打分，得分高于通过分（当前 8.5）才放行；不通过给改进意见 → 清空产出 → 解析重做 → 重审
- 章节评审不达标 → 章节自动退回重写
- 整书评分不达标 → 改进意见自动落到问题章节并退回重写 → 重新合成 → 重新评分
你的职责是：收到招标文件立即导入启动、处理卡点与提问、回答评审/评分中的人类决策。

376
pipeline_bidding/bid_analysis_capability.py
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@ -60,6 +60,90 @@ __CONTENT__
金额只填数字（如 1200000），不带单位和千分位；日期只填 YYYY-MM-DD。"""
# ── 四维度拆分抽取提示词（2026-09-02 起：解析任务拆成四个并行维度）──
PROMPT_SCORING = """你是招标文件分析师。下面是一份招标文件正文（可能被截断），本任务只负责【评分项与得分规则】这一个维度。
【招标文件正文】
__CONTENT__
严格只输出一个 JSON 对象：
{
"tender_facts": {"title": "项目名称", "budget_amount": "预算金额数字", "risk_note": "评标相关风险提示，无则空"},
"scoring_items": [
{"section": "business|technical|price", "item_no": "评分项编号", "item_name": "评分项名称",
"max_score": 数字满分, "scoring_rule": "得分规则原文（含档位/扣分/加分细则）",
"is_veto": "0或1（是否否决项/废标项）", "source_ref": "出处，如 第三章 评标办法 表1"}
]
}
要求：
1. 必须逐条覆盖评标办法中的每个评分项，不得漏项、不得编造；满分数字与原文一致。
2. 得分规则保留原文档位/扣分/加分细则，不要概括失真。
3. 否决项/废标条款 is_veto=1，漏标视为致命缺陷。
4. 只输出评分维度相关内容，不要输出资质/文件要求/章节等其他维度。
5. 招标文件里没有评标办法就输出 {"tender_facts": {}, "scoring_items": []}，禁止编造。"""
PROMPT_QUALS = """你是招标文件分析师。下面是一份招标文件正文（可能被截断），本任务只负责【资质清单与要求】这一个维度。
【招标文件正文】
__CONTENT__
严格只输出一个 JSON 对象：
{
"tender_facts": {"title": "项目名称", "qualification_req": "投标人资格/资质要求原文摘要"},
"qualifications": [
{"qual_name": "资质名称", "requirement": "要求原文", "is_mandatory": "0或1（是否强制）"}
]
}
要求：
1. 资格要求中的每项资质/证书/业绩门槛/体系认证全部录入，无漏项、无编造。
2. 要求描述与原文一致（等级/有效期/联合体口径），强制性条款 is_mandatory=1，加分项不得误标必需。
3. 只输出资质维度相关内容，不要输出评分/文件要求/章节等其他维度。
4. 招标文件里没有资质要求就输出 {"tender_facts": {}, "qualifications": []}，禁止编造。"""
PROMPT_REQS = """你是招标文件分析师。下面是一份招标文件正文（可能被截断），本任务只负责【投标文件要求与章节结构】这一个维度。
【招标文件正文】
__CONTENT__
严格只输出一个 JSON 对象：
{
"doc_requirements": [
{"req_type": "structure|format|seal|copies|deadline|other",
"chapter_no": "章节号（structure 类必填，如 1 / 1.1）",
"chapter_title": "章节标题（structure 类必填）",
"requirement": "要求内容", "page_limit": 数字或null, "source_ref": "出处"}
]
}
要求：
1. req_type=structure 的条目就是投标文件应有的章节结构，按招标文件要求的顺序给出，章节号/标题准确。
2. 格式/密封/份数/截止时间等要求（format/seal/copies/deadline）无遗漏。
3. 只输出投标文件要求维度相关内容，不要输出评分/资质等其他维度。
4. 只抽取正文中真实存在的内容，禁止编造；没有就输出 {"doc_requirements": []}。"""
PROMPT_COST_BENEFIT = """你是投标商务分析专家。下面是一份招标文件正文（可能被截断），请做【投标成本与收益分析】。
【招标文件正文】
__CONTENT__
严格只输出一个 JSON 对象：
{
"items": [
{"category": "cost|benefit", "item_name": "项目名（如 投标保证金/履约保证金/人员投入成本/设备采购成本/预期收益）",
"amount": 金额数字或null, "amount_note": "金额口径说明（估算/上限/区间），估算须写清依据",
"basis": "推理依据：招标文件原文引用 + 推理过程", "confidence": "high|medium|low",
"source_ref": "出处（如 第二章 投标须知）"}
],
"summary": {"total_cost_est": 成本合计估算数字或null, "total_revenue_est": 收益合计估算数字或null,
"margin_est": "毛利空间文字结论（区间/口径说明）", "note": "关键风险与口径声明"}
}
要求：
1. 成本项：投标保证金、履约保证金、实施/运维人力成本、设备/软件采购成本、差旅/投标直接费用等，按招标要求和行业常识估算，估算口径必须写在 amount_note 和 basis 里。
2. 收益项：预算金额/招标控制价（招标文件明确给出才算，不得编造数字）。
3. 每项必须给 basis（原文引用+推理），招标文件没提的成本用行业常识估算并标 confidence=low，严禁凭空编造确定性数字。
4. summary.margin_est 是成本合计与收益合计的差额分析，口径与单项一致；算不出就写"无法估算"并说明原因。"""
# ══════════════ 招标文件读取 ══════════════
async def list_tender_files(project_id, extract_status=""):
@ -324,6 +408,14 @@ async def add_doc_requirement(project_id, requirement, req_type="structure",
return False, "缺少 requirement"
db, dbname = get_db()
async with db.sqlorContext(dbname) as sor:
exist = await sor.sqlExe(
"SELECT id FROM bid_doc_requirements WHERE project_id=${pid}$ "
"AND req_type=${rt}$ AND requirement=${rq}$ LIMIT 1",
{"pid": project_id, "rt": (req_type or "structure")[:30],
"rq": str(requirement or "")[:500]})
await sor.sqlExe("COMMIT", {})
if exist:
return True, "投标文件要求已存在: %s" % str(requirement)[:50]
n = await sor.sqlExe(
"SELECT COUNT(*) AS c FROM bid_doc_requirements WHERE project_id=${pid}$",
{"pid": project_id})
@ -404,11 +496,53 @@ async def _upsert_tender_facts(project_id, facts, who=None, agent_id=None):
detail="从招标文件抽取要素: %s" % ", ".join(sorted(data)))
async def _load_tender_text(sor, project_id, file_id=""):
"""读招标文件正文（各维度抽取共用）。返回 (txt, file_name, err)。
file_id 指定 → 取该记录；否则选最优记录（有正文优先、其次磁盘有文件，同类取最新）。
磁盘文件首次读到时回写 content_text（幂等）。
"""
if file_id:
recs = await sor.sqlExe(
"SELECT id, content_text, file_path, file_name FROM bid_tender_files "
"WHERE id=${fid}$", {"fid": file_id})
await sor.sqlExe("COMMIT", {})
if not recs:
return "", "", "项目下没有该招标文件（bid_tender_files），无法抽取"
d = rec_to_dict(recs[0])
else:
# 选最优记录：有正文优先、其次磁盘有文件，同类取最新
# （2026-09-01 修复：旧实现固定取最老记录，完整文件后来上传时永远读不到）
d = await _best_tender_record(sor, project_id)
if not d:
return "", "", "项目下没有招标文件（bid_tender_files），无法抽取"
txt = d.get("content_text") or ""
if not txt.strip() and d.get("file_path"):
pdir = await _project_dir_of(sor, project_id)
real = d.get("_resolved_path") or _resolve_file_path(pdir, d["file_path"])
txt = _extract_file_text(real) if real else ""
if txt:
await sor.sqlExe(
"UPDATE bid_tender_files SET content_text=${c}$, file_path=${p}$ "
"WHERE id=${fid}$",
{"c": txt[:2000000], "p": real, "fid": d["id"]})
await sor.sqlExe("COMMIT", {})
if not txt.strip():
return "", d.get("file_name", ""), (
"招标文件正文为空，无法抽取（file=%s，file_path=%s）；"
"请确认文件已上传到项目目录" % (d.get("file_name", ""), d.get("file_path", "")))
return txt, d.get("file_name", ""), ""
async def extract_from_file(project_id, file_id="", model_name="", offset=0,
length=30000, who=None, agent_id=None):
"""LLM 一次性抽取三类信息并批量落库（评分项/资质/投标文件要求）。
大文件分段调用（offset 递增），重复项按名称去重，可安全多次调用。
【2026-09-02 起已由四维度拆分取代】对账器按维度各派一个任务并行抽取
（extract_scoring / extract_quals / extract_reqs_outline / extract_cost_benefit），
本函数保留仅为向后兼容（旧角色技能/旧项目重做仍可调），新流程不再用它。
"""
try:
project_id = await resolve_project_id(project_id, file_id=file_id)
@ -416,35 +550,9 @@ async def extract_from_file(project_id, file_id="", model_name="", offset=0,
return False, str(e)
db, dbname = get_db()
async with db.sqlorContext(dbname) as sor:
if file_id:
recs = await sor.sqlExe(
"SELECT id, content_text, file_path, file_name FROM bid_tender_files "
"WHERE id=${fid}$", {"fid": file_id})
await sor.sqlExe("COMMIT", {})
if not recs:
return False, "项目下没有招标文件（bid_tender_files），无法抽取"
d = rec_to_dict(recs[0])
else:
# 选最优记录：有正文优先、其次磁盘有文件，同类取最新
# （2026-09-01 修复：旧实现固定取最老记录，完整文件后来上传时永远读不到）
d = await _best_tender_record(sor, project_id)
if not d:
return False, "项目下没有招标文件（bid_tender_files），无法抽取"
txt = d.get("content_text") or ""
if not txt.strip() and d.get("file_path"):
pdir = await _project_dir_of(sor, project_id)
real = d.get("_resolved_path") or _resolve_file_path(pdir, d["file_path"])
txt = _extract_file_text(real) if real else ""
if txt:
await sor.sqlExe(
"UPDATE bid_tender_files SET content_text=${c}$, file_path=${p}$ "
"WHERE id=${fid}$",
{"c": txt[:2000000], "p": real, "fid": d["id"]})
await sor.sqlExe("COMMIT", {})
if not txt.strip():
return False, ("招标文件正文为空，无法抽取（file=%s，file_path=%s）；"
"请确认文件已上传到项目目录" %
(d.get("file_name", ""), d.get("file_path", "")))
txt, fname, err = await _load_tender_text(sor, project_id, file_id=file_id)
if err:
return False, err
o = to_int(offset, 0)
seg = txt[o:o + to_int(length, 30000)]
data, err = await llm_json(EXTRACT_PROMPT.replace("__CONTENT__", seg),
@ -480,10 +588,218 @@ async def extract_from_file(project_id, file_id="", model_name="", offset=0,
who=who, agent_id=agent_id)
cnt["doc_requirements"] += 1 if ok else 0
return True, ("抽取完成（文件 %s，字符 %d-%d）：评分项 %d，资质 %d，投标文件要求 %d"
% (d.get("file_name", ""), o, o + len(seg),
% (fname, o, o + len(seg),
cnt["scoring_items"], cnt["qualifications"], cnt["doc_requirements"]))
# ── 四维度拆分抽取（2026-09-02：解析任务拆成四个并行维度，各派一个任务）──
async def _extract_seg(txt, prompt, model_name, offset, length):
"""取分段正文 → LLM 抽取。返回 (data, err)。"""
o = to_int(offset, 0)
seg = txt[o:o + to_int(length, 30000)]
data, err = await llm_json(prompt.replace("__CONTENT__", seg),
model_name=model_name, retries=1)
if data is None:
return None, "LLM 抽取失败: %s" % err
return data, ""
async def extract_scoring(project_id, file_id="", model_name="", offset=0,
length=30000, who=None, agent_id=None):
"""维度1：抽取评分项 + 得分规则（落 bid_scoring_items；顺带更新商务要素）。"""
try:
project_id = await resolve_project_id(project_id, file_id=file_id)
except ValueError as e:
return False, str(e)
db, dbname = get_db()
async with db.sqlorContext(dbname) as sor:
txt, fname, err = await _load_tender_text(sor, project_id, file_id=file_id)
if err:
return False, err
data, err = await _extract_seg(txt, PROMPT_SCORING, model_name, offset, length)
if data is None:
return False, err
cnt = 0
await _upsert_tender_facts(project_id, data.get("tender_facts"),
who=who, agent_id=agent_id)
for it in (data.get("scoring_items") or []):
if not isinstance(it, dict) or not it.get("item_name"):
continue
ok, _ = await add_scoring_item(
project_id, it.get("item_name"), it.get("max_score", 0),
scoring_rule=it.get("scoring_rule", ""), section=it.get("section", "technical"),
item_no=it.get("item_no", ""), is_veto=it.get("is_veto", "0"),
source_ref=it.get("source_ref", ""), who=who, agent_id=agent_id)
cnt += 1 if ok else 0
return True, ("评分项维度抽取完成（文件 %s，字符 %d-%d）：录入 %d 项。"
% (fname, to_int(offset, 0), to_int(offset, 0) + to_int(length, 30000), cnt))
async def extract_quals(project_id, file_id="", model_name="", offset=0,
length=30000, who=None, agent_id=None):
"""维度2：抽取资质清单与要求（落 bid_qualifications）。"""
try:
project_id = await resolve_project_id(project_id, file_id=file_id)
except ValueError as e:
return False, str(e)
db, dbname = get_db()
async with db.sqlorContext(dbname) as sor:
txt, fname, err = await _load_tender_text(sor, project_id, file_id=file_id)
if err:
return False, err
data, err = await _extract_seg(txt, PROMPT_QUALS, model_name, offset, length)
if data is None:
return False, err
cnt = 0
await _upsert_tender_facts(project_id, data.get("tender_facts"),
who=who, agent_id=agent_id)
for it in (data.get("qualifications") or []):
if not isinstance(it, dict) or not it.get("qual_name"):
continue
ok, _ = await add_qualification(
project_id, it.get("qual_name"), requirement=it.get("requirement", ""),
is_mandatory=it.get("is_mandatory", "1"), who=who, agent_id=agent_id)
cnt += 1 if ok else 0
return True, ("资质维度抽取完成（文件 %s，字符 %d-%d）：录入 %d 项。"
% (fname, to_int(offset, 0), to_int(offset, 0) + to_int(length, 30000), cnt))
async def extract_reqs_outline(project_id, file_id="", model_name="", offset=0,
length=30000, who=None, agent_id=None):
"""维度3：抽取投标文件要求（落 bid_doc_requirements），并自动生成章节骨架。"""
try:
project_id = await resolve_project_id(project_id, file_id=file_id)
except ValueError as e:
return False, str(e)
db, dbname = get_db()
async with db.sqlorContext(dbname) as sor:
txt, fname, err = await _load_tender_text(sor, project_id, file_id=file_id)
if err:
return False, err
data, err = await _extract_seg(txt, PROMPT_REQS, model_name, offset, length)
if data is None:
return False, err
cnt = 0
for it in (data.get("doc_requirements") or []):
if not isinstance(it, dict) or not it.get("requirement"):
continue
ok, _ = await add_doc_requirement(
project_id, it.get("requirement"), req_type=it.get("req_type", "structure"),
chapter_no=it.get("chapter_no", ""), chapter_title=it.get("chapter_title", ""),
page_limit=it.get("page_limit", ""), source_ref=it.get("source_ref", ""),
who=who, agent_id=agent_id)
cnt += 1 if ok else 0
# 自动生成章节骨架（structure 类 → 章节，评分项挂载能挂多少挂多少）
ok_o, msg_o = await create_chapter_outline(project_id, who=who, agent_id=agent_id)
return True, ("投标文件要求维度抽取完成（文件 %s，字符 %d-%d）：录入 %d 条要求。%s"
% (fname, to_int(offset, 0), to_int(offset, 0) + to_int(length, 30000),
cnt, msg_o if not ok_o else "章节骨架已生成。"))
async def add_cost_benefit_item(project_id, category, item_name, amount="", amount_note="",
basis="", confidence="medium", source_ref="",
who=None, agent_id=None):
"""补录一条成本/收益项（分析漏项或人工修正时用）。"""
try:
project_id = await resolve_project_id(project_id)
except ValueError as e:
return False, str(e)
if not item_name:
return False, "缺少 item_name"
db, dbname = get_db()
async with db.sqlorContext(dbname) as sor:
exist = await sor.sqlExe(
"SELECT id FROM bid_cost_benefit WHERE project_id=${pid}$ AND item_name=${nm}$ "
"AND category=${c}$ LIMIT 1",
{"pid": project_id, "nm": str(item_name)[:250], "c": (category or "cost")[:16]})
await sor.sqlExe("COMMIT", {})
if exist:
return True, "该成本/收益项已存在: %s" % item_name
n = await sor.sqlExe(
"SELECT COUNT(*) AS c FROM bid_cost_benefit WHERE project_id=${pid}$",
{"pid": project_id})
order_no = to_int(getattr(n[0], "c", 0) if n else 0) + 1
iid = new_id()
amt = to_float(amount, 0.0)
await sor.C("bid_cost_benefit", {
"id": iid, "project_id": project_id,
"kind": "item", "category": (category or "cost")[:16],
"item_name": str(item_name)[:250],
"amount": amt or None,
"amount_note": str(amount_note or "")[:200],
"basis": basis or "",
"confidence": (confidence or "medium")[:16],
"source_ref": str(source_ref or "")[:480],
"order_no": order_no,
})
await sor.sqlExe("COMMIT", {})
await record(sor, project_id, "bid_cost_benefit", iid, "add",
who=who, agent_id=agent_id, detail=str(item_name)[:200])
return True, "成本/收益项已录入: %s (%s)" % (item_name, category)
async def extract_cost_benefit(project_id, file_id="", model_name="", offset=0,
length=30000, who=None, agent_id=None):
"""维度4：投标成本与收益分析（落 bid_cost_benefit：单项 + summary 结论行）。"""
try:
project_id = await resolve_project_id(project_id, file_id=file_id)
except ValueError as e:
return False, str(e)
db, dbname = get_db()
async with db.sqlorContext(dbname) as sor:
txt, fname, err = await _load_tender_text(sor, project_id, file_id=file_id)
if err:
return False, err
data, err = await _extract_seg(txt, PROMPT_COST_BENEFIT, model_name, offset, length)
if data is None:
return False, err
cnt = 0
for it in (data.get("items") or []):
if not isinstance(it, dict) or not it.get("item_name"):
continue
ok, _ = await add_cost_benefit_item(
project_id, it.get("category", "cost"), it.get("item_name"),
amount=it.get("amount", ""), amount_note=it.get("amount_note", ""),
basis=it.get("basis", ""), confidence=it.get("confidence", "medium"),
source_ref=it.get("source_ref", ""), who=who, agent_id=agent_id)
cnt += 1 if ok else 0
# 关键结论行（summary）：kind=summary，供总览展示
sm = data.get("summary") or {}
if isinstance(sm, dict) and sm:
note = (sm.get("margin_est") or "")[:2000]
extra = (sm.get("note") or "")[:2000]
db2, dbname2 = get_db()
async with db2.sqlorContext(dbname2) as sor:
exist = await sor.sqlExe(
"SELECT id FROM bid_cost_benefit WHERE project_id=${pid}$ AND kind='summary' LIMIT 1",
{"pid": project_id})
await sor.sqlExe("COMMIT", {})
sdata = {
"category": "summary",
"item_name": "成本收益关键结论",
"amount": to_float(sm.get("total_cost_est"), 0.0) or None,
"amount_note": ("成本合计估算；收益合计估算=%s"
% str(sm.get("total_revenue_est") or "未估算"))[:200],
"basis": (note + ("\n\n风险与口径：" + extra if extra else ""))[:20000],
"confidence": "medium",
}
if exist:
sid = getattr(exist[0], "id", "")
sets = ", ".join("%s=${%s}$" % (k, k) for k in sdata if k != "id")
p = dict(sdata); p["sid"] = sid
await sor.sqlExe(
"UPDATE bid_cost_benefit SET " + sets + ", updated_at=NOW() WHERE id=${sid}$", p)
await sor.sqlExe("COMMIT", {})
else:
sdata.update({"id": new_id(), "project_id": project_id, "kind": "summary",
"source_ref": "", "order_no": 0})
await sor.C("bid_cost_benefit", sdata)
await sor.sqlExe("COMMIT", {})
return True, ("成本收益维度分析完成（文件 %s）：录入 %d 项 + 关键结论。"
% (fname, cnt))
# ══════════════ 查询 ══════════════
async def list_scoring_items(project_id, section=""):

8
pipeline_bidding/bid_common.py
View File

@ -45,7 +45,8 @@ QC_TYPE_SCORING = "scoring_items" # 评分项 + 得分规则
QC_TYPE_QUALS = "qualifications" # 所需资质
QC_TYPE_REQS = "doc_requirements" # 投标文件要求
QC_TYPE_OUTLINE = "chapter_outline" # 章节骨架
QC_TYPES = (QC_TYPE_SCORING, QC_TYPE_QUALS, QC_TYPE_REQS, QC_TYPE_OUTLINE)
QC_TYPE_COST = "cost_benefit" # 成本收益分析（2026-09-02 四维度拆分新增）
QC_TYPES = (QC_TYPE_SCORING, QC_TYPE_QUALS, QC_TYPE_REQS, QC_TYPE_OUTLINE, QC_TYPE_COST)
# QC 审核对象 → 产出物落库表（QC 不通过时清空重做的对象；对账器判存在性也用）
QC_OUTPUT_TABLE = {
@ -53,6 +54,7 @@ QC_OUTPUT_TABLE = {
QC_TYPE_QUALS: "bid_qualifications",
QC_TYPE_REQS: "bid_doc_requirements",
QC_TYPE_OUTLINE: "bid_chapters",
QC_TYPE_COST: "bid_cost_benefit",
}
# 任务未终结状态（判断「是否已有在办任务」用）
@ -65,7 +67,7 @@ DEFAULT_PARAMS = {
"bid_pass_ratio": "0.85", # 整书评分通过门限
"bid_max_revise": "3", # 单章节最大重做次数
"bid_max_round": "3", # 整书最大评分轮次
"bid_qc_pass_score": "9.5", # 解析产出 QC 契合度通过分（10 分制，高于此分才放行）
"bid_qc_pass_score": "8.5", # 解析产出 QC 契合度通过分（10 分制，高于此分才放行；2026-09-02 用户定 8.5）
"bid_qc_max_round": "3", # 单类产出 QC 最大审核轮次（超限抛人工）
"bid_chapter_min_words": "800", # 技术标章节最低字数（低于即评审必退）
"bid_chapter_min_words_biz": "500", # 商务标章节最低字数
@ -211,7 +213,7 @@ async def get_thresholds(sor):
"bid_pass_ratio": to_float(await get_param(sor, "bid_pass_ratio"), 0.85),
"max_revise": to_int(await get_param(sor, "bid_max_revise"), 3),
"max_round": to_int(await get_param(sor, "bid_max_round"), 3),
"qc_pass_score": to_float(await get_param(sor, "bid_qc_pass_score"), 9.5),
"qc_pass_score": to_float(await get_param(sor, "bid_qc_pass_score"), 8.5),
"qc_max_round": to_int(await get_param(sor, "bid_qc_max_round"), 3),
"chapter_min_words": to_int(await get_param(sor, "bid_chapter_min_words"), 800),
"chapter_min_words_biz": to_int(await get_param(sor, "bid_chapter_min_words_biz"), 500),

301
pipeline_bidding/bid_flow.py
View File

@ -25,7 +25,7 @@ from .bid_common import (
CH_PENDING, CH_WRITING, CH_WRITTEN, CH_REJECTED, CH_APPROVED,
DOC_DRAFT, DOC_REVIEWING, DOC_PASSED, DOC_REJECTED, DOC_DELIVERED,
HT_TENDER_FILE, HT_HUMAN_DOCS, HT_QC_ESCALATION, HT_DELIVERY_CONFIRM,
QC_TYPE_SCORING, QC_TYPE_QUALS, QC_TYPE_REQS, QC_TYPE_OUTLINE, QC_TYPES,
QC_TYPE_SCORING, QC_TYPE_QUALS, QC_TYPE_REQS, QC_TYPE_OUTLINE, QC_TYPE_COST, QC_TYPES,
QC_OUTPUT_TABLE,
)
@ -76,6 +76,98 @@ async def _redo_done_count(sor, project_id, since=''):
return await _count(sor, sql, p)
# ── 四维度分析辅助（2026-09-02：解析拆成四个并行维度）──
# 维度定义：dim key → (任务标签, 对应 QC 类型)
ANALYSIS_DIMS = (
("scoring", "评分项与得分规则", (QC_TYPE_SCORING,)),
("quals", "资质清单与要求", (QC_TYPE_QUALS,)),
("reqs_outline", "投标文件要求与章节骨架", (QC_TYPE_REQS, QC_TYPE_OUTLINE)),
("cost_benefit", "成本收益分析", (QC_TYPE_COST,)),
)
DIM_QC_TYPES = {d: ts for d, _, ts in ANALYSIS_DIMS}
QC_TYPE_TO_DIM = {q: d for d, _, ts in ANALYSIS_DIMS for q in ts}
async def _missing_dims(n_items, n_struct, n_quals, n_cost, chapters):
"""返回缺失的分析维度 [(dim, label)]。各维度独立判定，缺几个并行派几个。"""
missing = []
if n_items == 0:
missing.append(("scoring", "评分项与得分规则"))
if n_quals == 0:
missing.append(("quals", "资质清单与要求"))
if n_struct == 0 or not chapters:
missing.append(("reqs_outline", "投标文件要求与章节骨架"))
if n_cost == 0:
missing.append(("cost_benefit", "成本收益分析"))
return missing
async def _open_dim_tasks(sor, project_id, dim):
"""某维度在办分析任务数（按 params.analysis_dim 匹配）。"""
recs = await sor.sqlExe(
"SELECT COUNT(*) AS c FROM pipeline_tasks WHERE tenant_id=${p}$ "
"AND pipeline_id='role_task' AND role=${r}$ AND state IN "
"('submitted','running','review','qc_review') "
"AND JSON_UNQUOTE(JSON_EXTRACT(params,'$.analysis_dim'))=${d}$",
{"p": project_id, "r": R_ANALYST, "d": dim})
await sor.sqlExe("COMMIT", {})
return to_int(getattr(recs[0], "c", 0) if recs else 0)
async def _dim_done_count(sor, project_id, dim, since=''):
"""某维度已完成（首跑+重做）任务数。"""
sql = ("SELECT COUNT(*) AS c FROM pipeline_tasks WHERE tenant_id=${p}$ "
"AND pipeline_id='role_task' AND role=${r}$ AND state IN ('approved','completed') "
"AND JSON_UNQUOTE(JSON_EXTRACT(params,'$.analysis_dim'))=${d}$")
p = {"p": project_id, "r": R_ANALYST, "d": dim}
if since:
sql += " AND updated_at >= ${since}$"
p["since"] = since
return await _count(sor, sql, p)
async def _dim_redo_done_count(sor, project_id, dim, since=''):
"""某维度重做（qc_redo=1）已完成任务数（不计入首跑重试上限）。"""
sql = ("SELECT COUNT(*) AS c FROM pipeline_tasks WHERE tenant_id=${p}$ "
"AND pipeline_id='role_task' AND role=${r}$ AND state IN ('approved','completed') "
"AND JSON_UNQUOTE(JSON_EXTRACT(params,'$.analysis_dim'))=${d}$ AND params LIKE ${kw}$")
p = {"p": project_id, "r": R_ANALYST, "d": dim, "kw": "%qc_redo%"}
if since:
sql += " AND updated_at >= ${since}$"
p["since"] = since
return await _count(sor, sql, p)
async def _dim_qc_improvements(sor, project_id, dim):
"""某维度各 QC 类型最新一轮未通过的改进意见（全通过/未审核返回空列表）。"""
imps = []
for t in DIM_QC_TYPES.get(dim, ()):
recs = await sor.sqlExe(
"SELECT round, passed, improvement FROM bid_qc_reviews "
"WHERE project_id=${p}$ AND qc_type=${t}$ ORDER BY round DESC LIMIT 1",
{"p": project_id, "t": t})
await sor.sqlExe("COMMIT", {})
if not recs:
continue
r = rec_to_dict(recs[0])
if str(r.get("passed")) == "1" or not (r.get("improvement") or "").strip():
continue
imps.append("[%s 第%s轮] %s" % (t, r.get("round"), r["improvement"]))
return imps
async def _open_qc_type_tasks(sor, project_id, qc_type):
"""某类型在办 QC 审核任务数（params.qc_types 含该类型）。"""
recs = await sor.sqlExe(
"SELECT COUNT(*) AS c FROM pipeline_tasks WHERE tenant_id=${p}$ "
"AND pipeline_id='role_task' AND role=${r}$ AND state IN "
"('submitted','running','review','qc_review') AND params LIKE ${kw}$",
{"p": project_id, "r": R_QC, "kw": '%"qc_types": ["%s"]%' % qc_type})
await sor.sqlExe("COMMIT", {})
return to_int(getattr(recs[0], "c", 0) if recs else 0)
async def _latest_tender_file_ts(sor, project_id):
"""项目最新招标文件的 created_at（无文件返回 ''）。"""
recs = await sor.sqlExe(
@ -103,8 +195,8 @@ async def _latest_done_analysis_ts(sor, project_id):
async def _reset_analysis_for_new_file(sor, project_id, since_ts):
"""新招标文件到来 → 清空旧文件时代的解析残留，让新文件干净重跑（幂等）。
清空范围：四类产出物（评分项/资质/投标文件要求/章节骨架，旧文件抽的对新文件
无意义）+ 早于新文件的 QC 审核记录（旧改进意见不能带入新文件解析）。
清空范围：五类产出物（评分项/资质/投标文件要求/章节骨架/成本收益，旧文件抽的
对新文件无意义）+ 早于新文件的 QC 审核记录（旧改进意见不能带入新文件解析）。
顺手关闭旧「解析未产出完整结果」人工介入任务（自动恢复即处理完毕）。
"""
# 仅当存在早于新文件的 QC 记录时执行（说明此前有过旧解析，属恢复场景）
@ -115,7 +207,7 @@ async def _reset_analysis_for_new_file(sor, project_id, since_ts):
if not recs:
return False
for tbl in ("bid_scoring_items", "bid_qualifications", "bid_doc_requirements",
"bid_chapters"):
"bid_chapters", "bid_cost_benefit"):
await sor.sqlExe(
"DELETE FROM %s WHERE project_id=${p}$" % tbl, {"p": project_id})
await sor.sqlExe("COMMIT", {})
@ -296,7 +388,8 @@ async def reconcile_project(sor, project_id, project_name=""):
sor, project_id, HT_TENDER_FILE,
"上传招标文件：%s" % (p.get("name", "") or project_id),
("请上传招标文件（含答疑/补遗文件）。\n"
"上传后系统自动进入招标文件解析（抽取评分项、得分规则、所需资质、投标文件要求、章节骨架）。"))
"上传后系统自动进入招标文件分析（四个维度并行：评分项与得分规则、资质清单、"
"投标文件要求与章节骨架、成本收益分析）。"))
await sor.sqlExe("COMMIT", {})
return acts + ["created: 上传招标文件任务 %s" % hid]
if await has_pending_blocking_human_task(sor, project_id):
@ -316,6 +409,8 @@ async def reconcile_project(sor, project_id, project_name=""):
n_quals_pending = await _count(sor, "SELECT COUNT(*) AS c FROM bid_qualifications "
"WHERE project_id=${p}$ AND match_status='pending'",
{"p": project_id})
n_cost = await _count(sor, "SELECT COUNT(*) AS c FROM bid_cost_benefit "
"WHERE project_id=${p}$ AND kind='item'", {"p": project_id})
chs = await sor.sqlExe(
"SELECT id, chapter_no, title, section, status, revise_count FROM bid_chapters "
@ -329,80 +424,75 @@ async def reconcile_project(sor, project_id, project_name=""):
await sor.sqlExe("COMMIT", {})
doc = rec_to_dict(docs[0]) if docs else {}
# ── A. 招标文件解析（评分项 / 资质 / 投标文件要求 / 章节骨架）──
need_analysis = n_files > 0 and (n_items == 0 or n_struct == 0 or not chapters)
if need_analysis:
if await count_open_tasks(sor, project_id, role=R_ANALYST) > 0:
return acts + ["waiting: 招标文件解析任务在办"]
# 携带 QC 改进意见的重做任务（qc_redo=1）不计入首跑重试上限
n_redo_open = await _count(
sor, "SELECT COUNT(*) AS c FROM pipeline_tasks WHERE tenant_id=${p}$ "
"AND pipeline_id='role_task' AND role=${r}$ AND state IN "
"('submitted','running','review','qc_review') AND params LIKE ${kw}$",
{"p": project_id, "r": R_ANALYST, "kw": "%qc_redo%"})
attempts = await _done_task_count(sor, project_id, R_ANALYST)
n_redo_done = await _redo_done_count(sor, project_id)
# 自动恢复（2026-09-01）：解析升级后来了**新的**招标文件（上传时间晚于
# 最后一次解析完成）→ 清掉旧文件残留产出与旧 QC 意见，重试计数从新文件
# 时刻重起。否则项目永久卡死：旧计数 ≥ 上限，永远不再派解析
# （中传项目「走不下去」的另一半根因）。
# ── A. 招标文件分析（2026-09-02 起拆成四个并行维度，各派一个任务）──
# 1) 评分项与得分规则 2) 资质清单与要求 3) 投标文件要求与章节骨架 4) 成本收益分析
# 各维度独立判定缺失 → 独立派发，引擎每项目并发上限（默认 4）保证真并行。
# 新招标文件自动恢复（清旧产出重跑）在派发前统一执行。
if n_files > 0:
_ft = await _latest_tender_file_ts(sor, project_id)
_at = await _latest_done_analysis_ts(sor, project_id)
if _ft and _at and _ft > _at:
if await _reset_analysis_for_new_file(sor, project_id, _ft):
acts.append("recovered: 检测到新招标文件，已清空旧解析残留，重新解析")
attempts = await _done_task_count(sor, project_id, R_ANALYST, since=_ft)
n_redo_done = await _redo_done_count(sor, project_id, since=_ft)
first_attempts = max(0, attempts - n_redo_done)
qc_imp = await _qc_collect_improvements(sor, project_id)
if qc_imp or n_redo_open > 0:
# QC 退回重做：携带改进意见，不受首跑重试上限约束；但重做轮次有上限（防无限循环）
if n_redo_done >= th["qc_max_round"]:
acts.append("recovered: 检测到新招标文件，已清空旧分析残留，重新四维度分析")
missing = await _missing_dims(n_items, n_struct, n_quals, n_cost, chapters)
created_dims = []
for dim, label in missing:
if await _open_dim_tasks(sor, project_id, dim) > 0:
acts.append("waiting: 分析维度「%s」任务在办" % label)
continue
_ft2 = _ft or await _latest_tender_file_ts(sor, project_id)
attempts = await _dim_done_count(sor, project_id, dim, since=_ft2)
n_redo_done = await _dim_redo_done_count(sor, project_id, dim, since=_ft2)
# QC 退回重做（携带改进意见）优先于首跑判定，不计入首跑重试上限
qc_imp = await _dim_qc_improvements(sor, project_id, dim)
if qc_imp:
if n_redo_done >= th["qc_max_round"]:
ht = await find_human_task(sor, project_id, "general", status="pending")
if not ht:
await create_human_task(
sor, project_id, "general",
"分析维度「%s」重做轮次已用尽，需人工介入" % label,
("QC 退回后该维度已重做 %d 轮，产出仍未通过契合度审核：\n%s\n\n"
"请人工核对招标文件并修正产出物（对应管理页），"
"或在 QC 审核记录页把对应记录 passed 改为 1 强制放行。"
% (n_redo_done, "\n".join(qc_imp)[:3000])),
assignee_role="owner.superuser")
await sor.sqlExe("COMMIT", {})
acts.append("escalated: 维度「%s」QC 重做轮次用尽 → 人工介入" % label)
continue
tid = await create_role_task(
sor, project_id, R_ANALYST,
"%s 分析重做：%s（QC 退回，按改进意见修正）" % (pname, label),
{"stage": "analysis_redo", "task_kind": "bid_analysis",
"analysis_dim": dim, "qc_redo": 1, "qc_improvements": qc_imp})
acts.append("created: 分析重做任务 %s（%s，改进意见 %d 条）" % (tid, label, len(qc_imp)))
created_dims.append(dim)
continue
first_attempts = max(0, attempts - n_redo_done)
if first_attempts >= MAX_ANALYST_ATTEMPT:
ht = await find_human_task(sor, project_id, "general", status="pending")
if not ht:
await create_human_task(
sor, project_id, "general",
"解析重做轮次已用尽，需人工介入",
("QC 退回后解析已重做 %d 轮，产出仍未通过契合度审核：\n%s\n\n"
"请人工核对招标文件并修正产出物（评分项/资质/投标文件要求管理页），"
"或在 QC 审核记录页把对应记录 passed 改为 1 强制放行。"
% (n_redo_done, "\n".join(qc_imp)[:3000])),
"分析维度「%s」未产出结果，需人工介入" % label,
("该维度分析任务已完成 %d 次，产出仍为空。\n"
"请人工检查招标文件是否可读（bid_tender_files.content_text），"
"或人工补录该维度产出后完成本任务。" % first_attempts),
assignee_role="owner.superuser")
await sor.sqlExe("COMMIT", {})
return acts + ["escalated: QC 重做轮次用尽 → 人工介入"]
acts.append("escalated: 维度「%s」重试超限 → 人工介入" % label)
continue
tid = await create_role_task(
sor, project_id, R_ANALYST,
"%s 招标文件解析重做（QC 退回，按改进意见修正）" % pname,
{"stage": "analysis_redo", "task_kind": "bid_analysis", "qc_redo": 1,
"qc_improvements": qc_imp})
"%s 招标文件分析：%s" % (pname, label),
{"stage": "analysis", "task_kind": "bid_analysis", "analysis_dim": dim})
acts.append("created: 分析任务 %s（%s）" % (tid, label))
created_dims.append(dim)
if created_dims:
await sor.sqlExe("COMMIT", {})
return acts + ["created: 解析重做任务 %s（QC 改进意见 %d 条）" % (tid, len(qc_imp))]
if first_attempts >= MAX_ANALYST_ATTEMPT:
ht = await find_human_task(sor, project_id, "general", status="pending")
if not ht:
await create_human_task(
sor, project_id, "general", "招标文件解析未产出完整结果，需人工介入",
("解析任务已完成 %d 次，但仍缺少：%s。\n"
"请人工检查招标文件是否可读（bid_tender_files.content_text），"
"或人工补录评分项/投标文件要求后完成本任务。"
% (first_attempts,
"、".join(x for x in [
"评分项" if n_items == 0 else "",
"投标文件章节结构" if n_struct == 0 else "",
"章节骨架" if not chapters else ""] if x))),
assignee_role="owner.superuser")
await sor.sqlExe("COMMIT", {})
acts.append("escalated: 解析重试超限 → 人工介入")
return acts
tid = await create_role_task(
sor, project_id, R_ANALYST,
"%s 招标文件解析（评分项/资质/投标文件要求/章节骨架）" % pname,
{"stage": "analysis", "task_kind": "bid_analysis"})
await sor.sqlExe("COMMIT", {})
return acts + ["created: 解析任务 %s" % tid]
# ── A2. 解析产出 QC 门禁（评分标准/得分规则/资质/投标文件要求/章节骨架的契合度审核）──
# 每类产出须经 agent.qc 对照招标文件原文按 10 分制打分，得分高于通过分（默认 9.5）才放行。
# ── A2. 分析产出 QC 门禁（五个类型逐一审核，每类一个审核任务并行；阈值见 bid_qc_pass_score）──
qc_pending = await _qc_pending_types(sor, project_id)
if qc_pending:
# 轮次用尽守卫：最新审核已达上限仍未通过 → 不再空转派审核任务，
@ -425,44 +515,57 @@ async def reconcile_project(sor, project_id, project_name=""):
await sor.sqlExe("COMMIT", {})
return acts + ["blocked: QC 审核轮次用尽（%s），等人工介入"
% "/".join(t for t, _, _, _ in over)]
# awaiting_redo：产出已被 QC 清空 → 先重派解析重做，不能对空产出审核
# awaiting_redo：产出已被 QC 清空 → 重派对应维度的重做任务，不能对空产出审核
needs_redo = [(t, s, imp, rnd) for t, s, imp, rnd in qc_pending if s == "awaiting_redo"]
if needs_redo:
if await count_open_tasks(sor, project_id, role=R_ANALYST) > 0:
return acts + ["waiting: 解析重做任务在办（QC 退回产出已清空）"]
n_redo_done = await _redo_done_count(sor, project_id)
if n_redo_done >= th["qc_max_round"]:
ht = await find_human_task(sor, project_id, "general", status="pending")
if not ht:
await create_human_task(
sor, project_id, "general",
"解析重做轮次已用尽，需人工介入",
("QC 退回后解析已重做 %d 轮，产出仍未通过契合度审核。\n"
"请人工核对招标文件并修正产出物，或在 QC 审核记录页强制放行。"
% n_redo_done),
assignee_role="owner.superuser")
await sor.sqlExe("COMMIT", {})
return acts + ["escalated: QC 重做轮次用尽 → 人工介入"]
qc_imp = await _qc_collect_improvements(sor, project_id)
tid = await create_role_task(
sor, project_id, R_ANALYST,
"%s 招标文件解析重做（QC 退回产出已清空，按改进意见重抽）" % pname,
{"stage": "analysis_redo", "task_kind": "bid_analysis", "qc_redo": 1,
"qc_improvements": qc_imp})
await sor.sqlExe("COMMIT", {})
return acts + ["created: 解析重做任务 %s（产出被 QC 清空：%s）"
% (tid, "/".join(t for t, _, _, _ in needs_redo))]
redo_dims = []
for t, _, _, _ in needs_redo:
dim = QC_TYPE_TO_DIM.get(t, "scoring")
if dim in redo_dims:
continue
if await _open_dim_tasks(sor, project_id, dim) > 0:
continue
n_redo_done = await _dim_redo_done_count(sor, project_id, dim)
if n_redo_done >= th["qc_max_round"]:
ht = await find_human_task(sor, project_id, "general", status="pending")
if not ht:
await create_human_task(
sor, project_id, "general",
"分析维度「%s」重做轮次已用尽，需人工介入" % dim,
("QC 退回后该维度已重做 %d 轮，产出仍未通过契合度审核。\n"
"请人工核对招标文件并修正产出物，或在 QC 审核记录页强制放行。"
% n_redo_done),
assignee_role="owner.superuser")
await sor.sqlExe("COMMIT", {})
continue
qc_imp = await _dim_qc_improvements(sor, project_id, dim)
await create_role_task(
sor, project_id, R_ANALYST,
"%s 分析重做：%s（QC 退回产出已清空，按改进意见重做）" % (pname, dim),
{"stage": "analysis_redo", "task_kind": "bid_analysis",
"analysis_dim": dim, "qc_redo": 1, "qc_improvements": qc_imp})
redo_dims.append(dim)
acts.append("created: 分析重做任务（%s，产出被 QC 清空）" % dim)
if redo_dims:
await sor.sqlExe("COMMIT", {})
return acts
return acts + ["waiting: 分析重做任务在办（QC 退回产出已清空）"]
# 逐类型并行审核：每类一个审核任务（有在办的类型跳过）
needs_qc = [(t, s, imp, rnd) for t, s, imp, rnd in qc_pending]
if await count_open_tasks(sor, project_id, role=R_QC) > 0:
return acts + ["waiting: 解析产出 QC 审核任务在办"]
types_str = "/".join(t for t, _, _, _ in needs_qc)
tid = await create_role_task(
sor, project_id, R_QC,
"%s 解析产出契合度审核（%s）" % (pname, types_str),
{"stage": "qc_analysis", "task_kind": "bid_qc",
"qc_types": [t for t, _, _, _ in needs_qc]})
await sor.sqlExe("COMMIT", {})
return acts + ["created: QC 审核任务 %s（%s）" % (tid, types_str)]
created_qc = []
for t, _, _, _ in needs_qc:
if await _open_qc_type_tasks(sor, project_id, t) > 0:
continue
tid = await create_role_task(
sor, project_id, R_QC,
"%s 解析产出契合度审核（%s）" % (pname, t),
{"stage": "qc_analysis", "task_kind": "bid_qc", "qc_types": [t]})
acts.append("created: QC 审核任务 %s（%s）" % (tid, t))
created_qc.append(t)
if created_qc:
await sor.sqlExe("COMMIT", {})
return acts
return acts + ["waiting: 解析产出 QC 审核任务在办"]
# ── B. 资料准备（知识库资质匹配 + 人类文件清单）──
prep_done = await has_done_task(sor, project_id, R_PREP)

28
pipeline_bidding/bid_qc_capability.py
View File

@ -1,7 +1,7 @@
"""解析产出 QC 契合度审核能力（agent.qc）。
对应业务：招标文件解析的每类产出物（评分项+得分规则 / 资质 / 投标文件要求 / 章节骨架）
必须由 QC 对照招标文件原文逐项核对契合度，按 10 分制评分；**得分高于通过分（默认 9.5）才算完成**，
必须由 QC 对照招标文件原文逐项核对契合度，按 10 分制评分；**得分高于通过分（当前 8.5）才算完成**，
否则给出改进意见 → 清空该产出物 → 对账器重派解析任务带意见重做 → 重审。超轮次上限抛人工。
机制分工（与产线既有约定一致）：
@ -15,7 +15,8 @@ import logging
from .bid_common import (
get_db, new_id, rec_to_dict, rows_to_dicts, to_float, to_int,
record, create_human_task, find_human_task, get_thresholds, resolve_project_id,
QC_TYPE_SCORING, QC_TYPE_QUALS, QC_TYPE_REQS, QC_TYPE_OUTLINE, QC_TYPES,
QC_TYPE_SCORING, QC_TYPE_QUALS, QC_TYPE_REQS, QC_TYPE_OUTLINE, QC_TYPE_COST, QC_TYPES,
QC_OUTPUT_TABLE,
HT_QC_ESCALATION,
)
@ -52,15 +53,16 @@ QC_DIMENSIONS = {
"3. 评分项挂载正确：每个评分项能落到对应章节（target_chapter_no/名称匹配），无错挂漏挂；\n"
"4. 章节要点来自评分标准原文枚举的子维度，不是通用目录。"
),
QC_TYPE_COST: (
"投标成本收益分析契合度审核（对照招标文件商务条款与预算/保证金原文）：\n"
"1. 完整性：招标文件明确的成本/收益项（保证金、预算金额、付款条件等）全部覆盖，无漏项；\n"
"2. 金额依据：招标原文明确给出的金额（预算/保证金）与原文一致，估算项标注口径与置信度；\n"
"3. 推理合理：每项 basis 含原文引用+推理过程，无凭空编造的确定性数字；\n"
"4. 结论一致：summary 的成本合计/收益合计与单项一致，毛利口径正确；算不出须说明原因，不得硬编。"
),
}
# 每类产出对应的落库表（QC 不通过时清空重做的对象）
QC_OUTPUT_TABLE = {
QC_TYPE_SCORING: "bid_scoring_items",
QC_TYPE_QUALS: "bid_qualifications",
QC_TYPE_REQS: "bid_doc_requirements",
QC_TYPE_OUTLINE: "bid_chapters",
}
# 每类产出对应的落库表：统一从 bid_common.QC_OUTPUT_TABLE 导入（含 cost_benefit）
async def _qc_type_valid(sor, qc_type):
@ -149,6 +151,12 @@ async def start_qc(qc_type, project_id="", who=None, agent_id=None, task_id=""):
"SELECT qual_name, is_mandatory, LEFT(requirement, 400) AS requirement "
"FROM bid_qualifications WHERE project_id=${p}$ ORDER BY is_mandatory DESC LIMIT 300",
{"p": project_id})
elif qc_type == QC_TYPE_COST:
recs = await sor.sqlExe(
"SELECT kind, category, item_name, amount, amount_note, "
"LEFT(basis, 500) AS basis, confidence, source_ref "
"FROM bid_cost_benefit WHERE project_id=${p}$ ORDER BY kind DESC, order_no LIMIT 300",
{"p": project_id})
else:
recs = await sor.sqlExe(
"SELECT req_type, chapter_no, chapter_title, LEFT(requirement, 400) AS requirement, "
@ -191,7 +199,7 @@ async def finish_qc(review_id, fit_score, improvement="", comments="",
sc = to_float(fit_score, -1.0)
if sc < 0 or sc > 10:
return False, "fit_score 必须为 0~10 的数字"
passed = sc > th["qc_pass_score"] # 严格高于通过分才算完成（9.5 → 需 >9.5）
passed = sc > th["qc_pass_score"] # 严格高于通过分才算完成（8.5 → 需 >8.5）
if not passed and not (improvement or "").strip():
return False, ("QC 不通过（%.2f 未高于 %.2f）必须给出 improvement：\n"
"逐项写清缺了什么、错在哪、对照招标文件原文哪一处，解析角色据此重做。"

39
pipeline_bidding/role_tool_schemas.py
View File

@ -36,6 +36,43 @@ BID_ROLE_TOOL_SCHEMAS = {
"offset": "分段起始字符(可选)", "length": "分段长度(可选)"},
"required": [],
},
"extract_scoring": {
"module": f"{_M}.bid_analysis_capability",
"description": "分析维度1：抽取评分项+得分规则落库（任务 analysis_dim=scoring 时用）",
"params": {"project_id": "项目ID(可选,默认当前)", "file_id": "招标文件ID(可选)",
"offset": "分段起始字符(可选)", "length": "分段长度(可选)"},
"required": [],
},
"extract_quals": {
"module": f"{_M}.bid_analysis_capability",
"description": "分析维度2：抽取资质清单与要求落库（任务 analysis_dim=quals 时用）",
"params": {"project_id": "项目ID(可选,默认当前)", "file_id": "招标文件ID(可选)",
"offset": "分段起始字符(可选)", "length": "分段长度(可选)"},
"required": [],
},
"extract_reqs_outline": {
"module": f"{_M}.bid_analysis_capability",
"description": "分析维度3：抽取投标文件要求落库并自动生成章节骨架（任务 analysis_dim=reqs_outline 时用）",
"params": {"project_id": "项目ID(可选,默认当前)", "file_id": "招标文件ID(可选)",
"offset": "分段起始字符(可选)", "length": "分段长度(可选)"},
"required": [],
},
"extract_cost_benefit": {
"module": f"{_M}.bid_analysis_capability",
"description": "分析维度4：投标成本与收益分析落库（任务 analysis_dim=cost_benefit 时用）",
"params": {"project_id": "项目ID(可选,默认当前)", "file_id": "招标文件ID(可选)",
"offset": "分段起始字符(可选)", "length": "分段长度(可选)"},
"required": [],
},
"add_cost_benefit_item": {
"module": f"{_M}.bid_analysis_capability",
"description": "补录一条成本/收益项（分析漏项或人工修正时用）",
"params": {"project_id": "项目ID(可选,默认当前)", "category": "cost|benefit",
"item_name": "项目名", "amount": "金额数字(可选)",
"amount_note": "金额口径说明(可选)", "basis": "推理依据(可选)",
"confidence": "high|medium|low(可选)", "source_ref": "出处(可选)"},
"required": ["category", "item_name"],
},
"add_scoring_item": {
"module": f"{_M}.bid_analysis_capability",
"description": "录入评分项及得分规则（抽取漏项时人工补录）",
@ -189,7 +226,7 @@ BID_ROLE_TOOL_SCHEMAS = {
},
"finish_qc": {
"module": f"{_M}.bid_qc_capability",
"description": "落契合度分并判定：得分高于通过分（默认9.5，10分制）放行；不通过必须给改进意见，系统清空该类产出并触发解析重做",
"description": "落契合度分并判定：得分高于通过分（当前8.5，10分制）放行；不通过必须给改进意见，系统清空该类产出并触发解析重做",
"params": {"review_id": "start_qc 返回的评审ID", "fit_score": "契合度得分 0~10（可带一位小数）",
"improvement": "改进意见(不通过必填：缺了什么/错在哪/对照原文哪一处)",
"comments": "审核说明(可选)"},